eisgenerator

eisgenerator is a shared libary (libeisgenerator.so) and CLI application that allows one to generate EIS spectra with high performance. The target application is genrating test and example datasets for machine lerning applications.

eisgenerator's development and target platform is UNIX, but it should compile on nigh any platform

Compile/Install

Requirements

• git
• c++20 capable compiler (GCC, CLANG)
• cmake 3.20 or later
• optional:
  • gnuplot in $PATH

Procedure (UNIX)

In a console do:

• git clone https://git-ce.rwth-aachen.de/carl_philipp.klemm/eisgenerator.git
• cd eisgenerator
• mkdir build
• cd build
• cmake ..
• make -j8
• sudo make install

Basic usage of CLI application

Generate spectra

eisgenerator_export --model="r{1e3}-r{100}c{1e-6}" --omega=1-1e6 --log --omegasteps=100

flags:

--model: model string, format is simmular to RHD RelaxIS except that the implicit operator is parallel instead of serial, ie. "rc" is a resistor and condenser in parallel while "r-c" is the same in series and that parameters can be passed by adding {number} after the parameter, if an element requires more than one parameter they are specified by adding several comma seperated values in between the brackets like so: {420, 56}

• Supported Elements
  • c: cap
  • r: resistor
  • l: inductor
  • w: warburg element
  • p: constant phase element

--omega: range of freqency values (in rad/s) to sweep

--log: use logarithmic steps for omega

--omegasteps: amount of steps to take in the range specified by --omega

further flags can be found with: eisgenerator_export --help

Spectra

requires gnuplot in $PATH

eisgenerator_plot --model="r{1e3}-r{100}c{1e-6}" --omega=1-1e6 --log --omegasteps=100

Generates Nyquist plot of model specified, allos usage of the same flags as eisgenerator_export

Python bindings

python bindings can be build seperately from: eisgeneratorpy